Fre*_*red 6 pip tensorflow tensorflow-lite apple-silicon apple-m1
我有 Apple M1 Pro 芯片,但无法运行我的张量流项目。我按照Apple 网站上的安装说明进行操作。
当我运行时pip install -r requirements.txt,我的所有 python 软件包都会安装,除了tflite-model-maker. 我收到以下错误:
ERROR: Cannot install -r requirements.txt (line 19) and tflite-support because these package versions have conflicting dependencies.
The conflict is caused by:
tflite-model-maker 0.3.4 depends on tensorflow>=2.6.0
tflite-model-maker 0.3.3 depends on tensorflow>=2.6.0
tflite-model-maker 0.3.2 depends on tensorflow>=2.4.0
tflite-model-maker 0.3.1 depends on tensorflow>=2.4.0
tflite-model-maker 0.3.0 depends on tensorflow>=2.4.0
tflite-model-maker 0.2.5 depends on tensorflow>=2.4.0
The user requested tflite-support
tflite-model-maker 0.2.4 depends on tflite-support==0.1.0rc4
tflite-model-maker 0.2.3 depends on tf-nightly==2.4.0.dev20200902
tflite-model-maker 0.2.2 depends on tf-nightly==2.4.0.dev20200902
tflite-model-maker 0.2.1 depends on tf-nightly==2.4.0.dev20200811
tflite-model-maker 0.2.0 depends on tf-nightly==2.4.0.dev20200810
tflite-model-maker 0.1.2 depends on tf-nightly
The user requested tflite-support
tflite-model-maker 0.1.1 depends on tflite-support==0.1.0a0
The user requested tflite-support
tflite-model-maker 0.1.0 depends on tflite-support==0.1.0a0
To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict
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有任何想法吗?
小智 -1
我也遇到了同样的问题,tflite_model_maker的官方版本还不支持M1芯片。
但您可以在不安装库的情况下转换模型:
1-安装 TensorFlow:我使用了本教程:完美运行:https ://sudhanva.me/install-tensorflow-on-apple-m1-pro-max/
2-使用 Keras os 创建模型并加载它:
import tensorflow
model = tensorflow.keras.models.load_model(load_weights)
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3- 将您的模型转换为 tflite:
converter = tensorflow.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
with open('new_model.tflite', 'wb') as f:
f.write(tflite_model)
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